Triple

T24505413
Position Surface form Disambiguated ID Type / Status
Subject Belize national highway network E618051 entity
Predicate hasComponent P35 FINISHED
Object Yo Creek–Blue Creek Road
Yo Creek–Blue Creek Road is a national roadway in Belize that connects the communities of Yo Creek and Blue Creek as part of the country’s primary highway system.
E1638104 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yo Creek–Blue Creek Road | Statement: [Belize national highway network, hasComponent, Yo Creek–Blue Creek Road]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yo Creek–Blue Creek Road
Triple: [Belize national highway network, hasComponent, Yo Creek–Blue Creek Road]
Generated description
Yo Creek–Blue Creek Road is a national roadway in Belize that connects the communities of Yo Creek and Blue Creek as part of the country’s primary highway system.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2d7f682108190a1a7ca5fd485ee8a completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a80667c08190966984252535b968 completed April 30, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee8bc1b48190907cc7717911963c completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fef20efe08190bb4cb412e2473ae5 completed May 22, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff097dd8881908bb83d84a6581ef7 completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 2:23 a.m.